Automatic Speech Recognition of Scripted Productions from PWAs

Improving automatic emotion recognition from speech signals

We present a speech signal driven emotion recognition system. Our system is trained and tested with the INTERSPEECH 2009 Emotion Challenge corpus, which includes spontaneous and emotionally rich recordings. The challenge includes classifier and feature sub-challenges with five-class and two-class classification problems. We investigate prosody related, spectral and HMM-based features for the ev...

Real-time automatic emotion recognition from speech

Recently, the importance of reacting to the emotional state of a user has been generally accepted in the field of human-computer interaction and especially speech has received increased focus as a modality from which to automatically deduct information on emotion. So far, mainly academic and not very application-oriented offline studies based on previously recorded and annotated databases with ...

A Database for Automatic Persian Speech Emotion Recognition: Collection, Processing and Evaluation

Abstract   Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...

Can Automatic Speech Recognition Learn More from Human Speech Perception?

Although a great deal of progress has been made during the last two decades in automatic speech recognition (ASR), the performance of these ASR systems, as measured by word recognition and concept understanding error rates, is still much worse than that achieved by humans, even for carefully read and articulated speech in quiet conditions. This performance gap (between machines and humans) incr...

Automatic speech recognition